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使用fMRI和sMRI进行精神分裂症分类的可解释方法具有特点.

Archita Chakraborty1, Linkon Chowdhury2, Selvarajah Thuseethan2

  • 1School of Science, Engineering and Technology, East Delta University, Chittagong, 4209 Bangladesh.

Health information science and systems
|December 19, 2025
PubMed
概括

这项研究引入了一种使用多式磁共振成像 (MRI) 来改善精神分裂症诊断的新型机器学习框架. 该方法提高了分类准确性,并提供可解释的脑异常可视化.

关键词:
机器学习 机器学习模型的解释性 模型的解释性多模式核磁共振 (MRI) 是一种多模式核磁共振.神经成像是一种神经成像.精神分裂症的分类 精神分裂症的分类

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